Improved mayfly algorithm based on hybrid mutation

被引：1

作者：

Zhang, Hua ^{[1
]}

Liu, Zheng ^{[1
]}

Gui, ShiWeng ^{[1
]}

Zou, Mei ^{[1
]}

Wang, PeiYuan ^{[1
]}

机构：

[1] Hubei Univ Arts & Sci, Sch Automot & Traff Engn, Hubei Key Lab Power Syst Design & Test Elect Vehi, Xiang Yang, Hubei, Peoples R China

来源：

ELECTRONICS LETTERS | 2022年 / 58卷 / 18期

关键词：

D O I：

10.1049/ell2.12568

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

To improve the diversity and performance of the mayfly algorithm (MA), this letter adopts the mutation strategies in the process of MA. The opposition-based learning (OBL) and Cauchy mutation strategies are used to mutate the global optimal solution, and the artificial mutation operator is used in the offspring population. The hybrid mutation strategies are used in a cascaded structure. The performance of the proposed algorithms is demonstrated in simulations comparatively.

引用

页码：687 / 689

页数：3

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